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Optimum utilization of on-demand manufacturing and laser polishing in existence of supply disruption risk
(Elsevier, 2022)
3D printing has moved from being a rapid prototyping tool to an additive manufacturing method within the last decade. Additive manufacturing can satisfy the need in dire situations where spare parts distribution is an issue ...
Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
(Assoc Computing Machinery, 2023)
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability ...
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
(Elsevier, 2022)
The goal of managing smart cities and societies is to maximize the efficient use of finite resources while enhancing the quality of life. To establish a sustainable urban existence, smart cities use some new technologies ...
A comprehensive and systematic literature review on the big data management techniques in the internet of things
(Springer, 2023)
The Internet of Things (IoT) is a communication paradigm and a collection of heterogeneous interconnected devices. It produces large-scale distributed, and diverse data called big data. Big Data Management (BDM) in IoT is ...
A new service recommendation method for agricultural industries in the fog-based Internet of Things environment using a hybrid meta-heuristic algorithm
(Pergamon-Elsevier Science Ltd, 2022)
Regardless of public perceptions of the agricultural techniques, the fact is that the current agriculture industry is more data-driven, accurate, and intelligent than before. Therefore, novel technologies such as fog ...
Mobile crane selection in project logistics operations using Best and Worst Method (BWM) and fuzzy Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS)
(Elsevier, 2023)
Statistics on occupational accidents published by international organizations show that mobile cranes are the riskiest heavy equipment among all crane types. The most significant reason for these crane accidents is the ...
Cascaded H-bridge multilevel inverters optimization using adaptive grey wolf optimizer with local search
(Springer, 2021)
With the transformation of transmission and distribution grids into smart grids that are more dominated by renewable energy, power electronics-based inverters that can improve power quality are becoming more visible. In ...
The Arithmetic Optimization Algorithm for Optimal Energy Resource Planning
(IEEE, 2021)
This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to ...
Deep Q-Learning Technique for Offloading Offline/Online Computation in Blockchain-Enabled Green IoT-Edge Scenarios
(Mdpi, 2022)
The number of Internet of Things (IoT)-related innovations has recently increased exponentially, with numerous IoT objects being invented one after the other. Where and how many resources can be transferred to carry out ...
Minimum Length Scheduling for Discrete-Rate Full-Duplex Wireless Powered Communication Networks
(IEEE-Inst Electrical Electronics Engineers Inc, 2022)
Wireless powered communication networks (WPCNs) will act as a major enabler of massive machine type communications (MTCs), which is a major service domain for 5G and beyond systems. The MTC networks will be deployed by ...